gpu=5
# root=/data1/baihy/datasets/deep_blending

# for scene in drjohnson playroom
# do
#   echo "开始训练场景: $scene"
#   python train.py -s ${root}/${scene} --gpu ${gpu} --eval

#   echo "开始渲染场景: $scene"
#   python render.py -m output/${scene} --gpu ${gpu}
# done


# root=/data1/baihy/datasets/mipnerf360

# for scene in bicycle bonsai counter flowers garden kitchen room stump treehill
# do
#   echo "开始训练场景: $scene"
#   python train.py -s ${root}/${scene} --gpu ${gpu} --eval

#   echo "开始渲染场景: $scene"
#   python render.py -m output/${scene} --gpu ${gpu}
# done

root=/data1/baihy/datasets/TanksAndTemples

for scene in train
do
  echo "开始训练场景: $scene"
  python train.py -s ${root}/${scene} --gpu ${gpu} --eval

  # echo "开始渲染场景: $scene"
  # python render.py -m output/${scene} --gpu ${gpu}
done

# root=/data1/baihy/datasets/nerf_synthetic/nerf_synthetic

# for scene in chair drums ficus hotdog lego materials mic ship
# do
#   echo "开始训练场景: $scene"
#   python train.py -s ${root}/${scene} --gpu ${gpu} --eval

#   echo "开始渲染场景: $scene"
#   python render.py -m output/${scene} --gpu ${gpu}
# done

# root=/data1/baihy/datasets/envgs

# for scene in audi dog
# do
#   echo "开始训练场景: $scene"
#   python train.py -s ${root}/${scene} --gpu ${gpu} --eval

#   echo "开始渲染场景: $scene"
#   python render.py -m output/${scene} --gpu ${gpu}
# done

